DocumentCode :
1519750
Title :
QoS-Aware Base-Station Selections for Distributed MIMO Links in Broadband Wireless Networks
Author :
Du, Qinghe ; Zhang, Xi
Author_Institution :
Dept. of Electr. & Comput. Eng., Texas A&M Univ., College Station, TX, USA
Volume :
29
Issue :
6
fYear :
2011
fDate :
6/1/2011 12:00:00 AM
Firstpage :
1123
Lastpage :
1138
Abstract :
The distributed multiple-input-multiple-output (MIMO) techniques across multiple cooperative base stations (BS) can significantly enhance the capability of the broadband wireless networks in terms of quality-of-service (QoS) provisioning for wireless data transmissions. However, the computational complexity and the interfering range of the distributed MIMO systems also increase rapidly as the number of cooperative BS´s increases. In this paper, we propose the QoS-aware BS-selection schemes for the distributed wireless MIMO links, which aim at minimizing the BS usages and reducing the interfering range, while satisfying diverse statistical delay-QoS constraints characterized by the delay-bound violation probability and the effective capacity technique. In particular, based on the channel state information (CSI) and QoS requirements, a subset of BS with variable cardinality for the distributed MIMO transmission is dynamically selected, where the selections are controlled by a central server. For the single-user scenario, we develop two optimization frameworks, respectively, to derive the efficient BS-selection schemes and the corresponding resource allocation algorithms. One framework uses the incremental BS-selection and time-sharing (IBS-TS) strategies, and the other employs the ordered-gain based BS-selection and probabilistic transmissions (OGBS-PT). The IBS-TS framework can yield better performance, while the scheme developed under the OGBS-PT framework is easier to implement. For the multi-user scenario, we propose the optimization framework applying the priority BS-selection, block-diagonalization precoding, and probabilistic transmission (PBS-BD-PT) techniques. We also propose the optimization framework applying the priority BS-selection, time-division-multiple-access, and probabilistic transmission (PBS-TDMA-PT) techniques. We derive the optimal transmission schemes for all the aforementioned frameworks, respectively. Also conducted is a set of simulation ev aluations which compare our proposed schemes with several baseline schemes and show the impact of the delay-QoS requirements, transmit power, and traffic loads on the performances of BS selections for distributed MIMO systems.
Keywords :
MIMO communication; computational complexity; fading channels; optimisation; precoding; quality of service; radio networks; resource allocation; time division multiple access; BS; CSI; IBS-TS; OGBS-PT; PBS-BD-PT technique; QoS-aware base-station selection; block-diagonalization precoding; broadband wireless network; channel state information; computational complexity; delay-bound violation probability; distributed MIMO link; distributed multiple-input-multiple-output technique; incremental BS-selection and time-sharing; optimization framework; ordered-gain based BS-selection and probabilistic transmission; quality-of-service; resource allocation algorithm; single-user scenario; time-division-multiple-access; wireless data transmission; Delay; MIMO; Mobile communication; Optimization; Probabilistic logic; Quality of service; Wireless communication; Distributed MIMO; broadband wireless networks; statistical QoS provisioning; wireless fading channels;
fLanguage :
English
Journal_Title :
Selected Areas in Communications, IEEE Journal on
Publisher :
ieee
ISSN :
0733-8716
Type :
jour
DOI :
10.1109/JSAC.2011.110602
Filename :
5770659
Link To Document :
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